Chronic Disease Prediction Model Using Integration of DBSCAN, SMOTE-ENN, and Random Forest

Chronic Disease Prediction Model Using Integration of DBSCAN, SMOTE-ENN, and Random Forest

Heart disease (HD) is number one chronic disease and becomes a major cause of worldwide disability and death. Aside of HD, type 2 diabetes (T2D) is also as the most deathful diseases that causes serious issues if untreated and undetected. HD and T2D predictions are the most effective measures to con...

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Bibliographic Details
Main Authors: Fitriyani, Norma Latif, Syafrudin, Muhammad, Alfian, Ganjar, Yang, Chuan-Kai, Rhee, Jongtae, Ulyah, Siti Maghfirotul
Format: Conference or Workshop Item
Language:English
Published: 2022
Subjects:
Electrical and Electronic Engineering
Online Access:https://repository.ugm.ac.id/281847/1/Chronic%20Disease%20Prediction%20Model%20Using%20Integration%20of%20DBSCAN%2C%20SMOTE-ENN%2C%20and%20Random%20Forest.pdf

Internet

https://repository.ugm.ac.id/281847/1/Chronic%20Disease%20Prediction%20Model%20Using%20Integration%20of%20DBSCAN%2C%20SMOTE-ENN%2C%20and%20Random%20Forest.pdf

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